Write Powerful, Modern C++ Code for Scientific, Engineering, and Embedded Applications Discovering Modern C++, Second Edition, will help you master valuable skills for programming with C++ at nearly every level, from "close to the hardware" to high-level abstractions. Updated for C++17 and C++ 20, this intensive introduction teaches C++ using realistic examples from diverse technical problem domains. Drawing on extensive experience teaching C++ to physicists, mathematicians, engineers, and students, Peter Gottschling guides you smoothly to sophisticated approaches based on advanced features. Whatever your programming experience, you'll rapidly master increasingly powerful features, from lambdas to expression and variadic templates. Gottschling also shows you how to apply C++'s libraries: both the Standard Template Library (STL) and scientific libraries for arithmetic, linear algebra, differential equations, and graphs. Step by step, you'll learn to write clear and expressive code using object orientation, generics, metaprogramming, and procedural techniques, and master all the abstractions you need to write high-quality, well-performing software. Quickly master core features: variables, operators, expressions, statements, functions, error handling, I/O, arrays, pointers, references, and more Make the most of classes and object-oriented programming, from constructors/destructors to operator overloading and multiple inheritance Apply advanced generic programming and template-based techniques Use C++'s libraries to write more robust and powerful code more quickly Explore metaprogramming in depth, and master cutting-edge optimization techniques Walk through representative scientific projects, and create your own Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Coinduction is a method for specifying and reasoning about infinite data types and automata with infinite behaviour. In recent years, it has come to play an ever more important role in the theory of computing. It is studied in many disciplines, including process theory and concurrency, modal logic and automata theory. Typically, coinductive proofs demonstrate the equivalence of two objects by constructing a suitable bisimulation relation between them. This collection of surveys is aimed at both researchers and Master's students in computer science and mathematics and deals with various aspects of bisimulation and coinduction, with an emphasis on process theory. Seven chapters cover the following topics: history, algebra and coalgebra, algorithmics, logic, higher-order languages, enhancements of the bisimulation proof method, and probabilities. Exercises are also included to help the reader master new material.

For all basic-to-intermediate level courses in Visual C# programming. An informative, engaging, challenging and entertaining introduction to Visual C# Created by world-renowned programming instructors Paul and Harvey Deitel, Visual C# How to Program, 6th Edition introduces students to the world of desktop, mobile and web app development with Microsoft's (R) Visual C# (R) programming language. Students will use the .NET platform and the Visual Studio (R) Integrated Development Environment to write, test, and debug applications and run them on a wide variety of Windows (R) devices. At the heart of the book is the Deitel signature live-code approach-rather than using code snippets, the authors present concepts in the context of complete working programs followed by sample executions. Students begin by getting comfortable with the Visual Studio Community edition IDE and basic C# syntax. Next, they build their skills one step at a time, mastering control structures, classes, objects, methods, variables, arrays, and the core techniques of object-oriented programming. With this strong foundation in place, the authors introduce more sophisticated techniques, including searching, sorting, data structures, generics, and collections. Additional practice is provided through a broad range of example programs and exercises selected from computer science, business, education, social issues, personal utilities, sports, mathematics, puzzles, simulation, game playing, graphics, multimedia and many other areas.

"In this day and age of 'too much information and not enough time, ' the ability to get to the bottom line quickly and in a concise method is what excels companies to the top of their industry. The techniques in this book will allow you to do things you only dreamt of." -Jerry Kohl, president of Brighton Collectibles Develop your Excel macro programming skills using VBA instantly with proven techniques Automate Reports Handle Errors Master Pivot Tables Produce Charts Build User-Defined Functions Migrate to Excel 2007 Query Web Data Build Dialog Boxes Use Data Visualizations Automate Word You are an expert in Excel, but the macro recorder doesn't work and you can't make heads or tails out of the recorded code. If this is you, buy this book. Macros that you record today might work today but not tomorrow. Recorded macros might handle a dataset with 14 records but not one with 12 or 16 records. These are all common problems with the macro recorder that unfortunately cause too many Excel gurus to turn away from writing macros. This book shows you why the macro recorder fails and the steps needed to convert recorded code into code that will work every day with every dataset. The book assumes that you know Excel well, but there is no need for prior programming experience. This book describes everything you could conceivably need to know to automate reports and design applications in Excel VBA. Whether you want to automate reports for your office or design full-blown applications for others, this book is for you.

• Learn VBA syntax as easy-to-understand English
• Automate Excel's power tools: Pivot Tables, Charts, Advanced Filters
• Save hours per week by automating redundanttasks
• Create applications built on top of Excel with custom dialog boxes
• Automatically produce hundreds of Excel reports in seconds
• Understand how changes in Excel 2007 impact your VBA macros

Introduction 1 1 Unleash the Power of Excel with VBA 7 2 This Sounds Like BASIC, So Why Doesn't It Look Familiar? 29 3 Referring to Ranges 61 4 User-Defined Functions 75 5 Looping and Flow Control 101 6 R1C1-Style Formulas 121 7 What's New in Excel 2007 and What's Changed 135 8 Create and Manipulate Names in VBA 143 9 Event Programming 155 10 UserForms--An Introduction 177 11 Creating Charts 197 12 Data Mining with Advanced Filter 249 13 Using VBA to Create Pivot Tables 281 14 Excel Power 337 15 Data Visualizations and Conditional Formatting 373 16 Reading from and Writing to the Web 393 17 XML in Excel 2007 413 18 Automating Word 421 19 Arrays 441 20 Text File Processing 449 21 Using Access as a Back End to Enhance Multi-User Access to Data 461 22 Creating Classes, Records, and Collections 477 23 Advanced UserForm Techniques 493 24 Windows Application Programming Interface (API) 517 25 Handling Errors 529 26 Customizing the Ribbon to Run Macros 543 27 Creating Add-Ins 569 Index 577

Formal and Practical Aspects of Domain-Specific Languages: Recent Developments is a collection of academic works containing current research on all aspects of domain-specific language. This book is a comprehensive overview in the computer language field and aims to be essential for scholars and practitioners in the software engineering fields by providing new results and answers to open problems in DSL research.

Radical developments in financial management, spurred by improvements in computer technology, have created demand for people who can use modern financial techniques combined with computer skills such as C++. Dr. Brooks gives readers the ability to express derivative solutions in an attractive, user-friendly format, and the ability to develop a permanent software package containing them. His book explains in detail how to write C++ source code and at the same time explains derivative valuation problems and methods. Entry level as well as experienced financial professionals have already found that the ability to understand and write C++ code has greatly enhanced their careers. This is an important hands-on training resource for practitioners and a clearly presented textbook for graduate-level students in business and finance.

Dr. Brooks combines object-oriented C++ programming with modern derivatives technology and provides numerous examples to illustrate complex derivative applications. He covers C++ within the text and the Borland C++Builder program, on which the book is based, in extensive appendices. His book combines basic C++ coding with fundamental finance problems, illustrates traditional techniques for solving more complicated problems, and develops the reader's ability to express complex mathematical solutions in the object-oriented framework of C++. It also reviews derivative solutions techniques and illustrates them with C++ code, reviews general approaches to valuing interest rate contingent claims, and focuses on practical ways to implement them. The result is a book that trains readers simultaneously in the substance of its field, financial derivatives, and the programming of solutions to problems in it.

Build and deploy intelligent applications for natural language processing with Python by using industry standard tools and recently popular methods in deep learning Key Features A no-math, code-driven programmer's guide to text processing and NLP Get state of the art results with modern tooling across linguistics, text vectors and machine learning Fundamentals of NLP methods from spaCy, gensim, scikit-learn and PyTorch Book DescriptionNLP in Python is among the most sought after skills among data scientists. With code and relevant case studies, this book will show how you can use industry-grade tools to implement NLP programs capable of learning from relevant data. We will explore many modern methods ranging from spaCy to word vectors that have reinvented NLP. The book takes you from the basics of NLP to building text processing applications. We start with an introduction to the basic vocabulary along with a workflow for building NLP applications. We use industry-grade NLP tools for cleaning and pre-processing text, automatic question and answer generation using linguistics, text embedding, text classifier, and building a chatbot. With each project, you will learn a new concept of NLP. You will learn about entity recognition, part of speech tagging and dependency parsing for Q and A. We use text embedding for both clustering documents and making chatbots, and then build classifiers using scikit-learn. We conclude by deploying these models as REST APIs with Flask. By the end, you will be confident building NLP applications, and know exactly what to look for when approaching new challenges. What you will learn Understand classical linguistics in using English grammar for automatically generating questions and answers from a free text corpus Work with text embedding models for dense number representations of words, subwords and characters in the English language for exploring document clustering Deep Learning in NLP using PyTorch with a code-driven introduction to PyTorch Using an NLP project management Framework for estimating timelines and organizing your project into stages Hack and build a simple chatbot application in 30 minutes Deploy an NLP or machine learning application using Flask as RESTFUL APIs Who this book is forProgrammers who wish to build systems that can interpret language. Exposure to Python programming is required. Familiarity with NLP or machine learning vocabulary will be helpful, but not mandatory.

This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for deep learning, Natural Language Processing (NLP), speech recognition, and general predictive analytics. The book provides a hands-on approach to TensorFlow fundamentals for a broad technical audience-from data scientists and engineers to students and researchers. The authors begin by working through some basic examples in TensorFlow before diving deeper into topics such as CNN, RNN, LSTM, and GNN. The book is written for those who want to build powerful, robust, and accurate predictive models with the power of TensorFlow, combined with other open source Python libraries. The authors demonstrate TensorFlow projects on Single Board Computers (SBCs).

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